Influence of socioeconomic events on cause-specific mortality in urban Shanghai, China, from 1974 to 2015: a population-based longitudinal study

Wang, Shuo; Du, Xiaoyu; Han, Xue; Yang, Fan; Zhao, Jia; Li, Hui; Li, Mi; Zhang, Hongwei; Liu, Wenbin; Song, Jiahui; Cao, Guangwen

doi:10.1503/cmaj.180272

Cited by 18 publications

(23 citation statements)

References 32 publications

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“…Information on CVD death during 1974-2015 was derived from the vital registration system, covering the all registered residents of Yangpu district, Shanghai [21]. The details of each CVD patient including age, gender, CVD types, date and causes of death were collected.…”

Section: Data Sourcesmentioning

confidence: 99%

“…All the rates were calculated as per 100,000 persons per year. Age standardized mortality rates were calculated using Segi's world standard population [21,23].…”

Section: Estimation Of Cvd Mortality and Burdenmentioning

confidence: 99%

“…The epidemiological transition in CVD mortality occurred earlier and slower in western countries, but it has been compressed to just a few decades in China, that is, the main cause of population death has shifted from infectious diseases and perinatal diseases to chronic diseases [20]. Third, the vital registration system in Yangpu was established 14 years prior to the national one established in 1987 [21].…”

Section: Introductionmentioning

confidence: 99%

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Associations of Socioeconomic Factors with Cause-specific Mortality and Burden of Cardiovascular Diseases: Findings from the Vital Registration in Urban Shanghai, China, during 1974-2015

Zhang

Han

et al. 2020

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Background: Cardiovascular disease (CVD) is the leading cause of mortality worldwide. The effect of socioeconomic factors on cause-specific mortality and burden of CVD is rarely evaluated in low- and middle-income countries, especially in a rapidly changing society.Methods: Original data were derived from the vital registration system in Yangpu, a representative, population-stable district of urban Shanghai, China, during 1974-2015. Temporal trends for the mortality rates and burden of CVD during 1974-2015 were evaluated using Joinpoint Regression Software. The burden was evaluated using age-standardized person years of life loss per 100,000 persons (SPYLLs). Age-sex-specific CVD mortality rates were predicted by using age-period-cohort Poisson regression model.Results: A total of 101,822 CVD death occurred during 1974-2015, accounting for 36.95% of total deaths. Hemorrhagic stroke, ischemic heart disease, and ischemic stroke were the 3 leading causes of CVD death. The age-standardized CVD mortality decreased from 144.5/100,000 to 100.7/100,000 in the residents (average annual percentage change [AAPC] -1.0, 95% confidence interval [CI] -1.7 to -0.2), which was mainly contributed by women (AAPC -1.3, 95% CI -2.0 to -0.7), not by men. Hemorrhagic stroke, the major CVD death in the mid-aged population, decreased dramatically after 1991. The crude mortality of ischemic heart disease kept increasing but its age-adjusted mortality decreased continually after 1997. SPYLLs of CVD death increased from 1974 to 1986 (AAPC 2.1, 95% CI 0.4 to 3.8) and decreased after 1986 (AAPC 1.8, 95% CI -2.3 to -1.3). These changes were in concert with the implementation of policies including extended medical insurance coverage, pollution control, active prophylaxis of CVD including lifestyle promotion, and national health programs. The mortality of CVD increased in those born during 1937-1945, a period of the Japanese military occupation, and during 1958-1965, a period including the Chinese Famine. Sequelae of CVD and ischemic heart disease are predicted to be the leading causes of CVD death in 2029.Conclusions: Exposure to serious malnutrition in early life might increase CVD mortality in later life. Improvements in medical services, pollution control, and lifestyle could decrease CVD death. New strategy is needed to prevent the aging-related CVD death and burden in the future.

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Section: Data Sourcesmentioning

confidence: 99%

“…All the rates were calculated as per 100,000 persons per year. Age standardized mortality rates were calculated using Segi's world standard population [21,23].…”

Section: Estimation Of Cvd Mortality and Burdenmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Associations of Socioeconomic Factors with Cause-specific Mortality and Burden of Cardiovascular Diseases: Findings from the Vital Registration in Urban Shanghai, China, during 1974-2015

Zhang

Han

et al. 2020

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“…The navy corps routinely takes a long journey, exposes to the complex climates and environments, and therefore may be stressed a lot from physical and psychological problems. In addition, spectrum of disease and life style in China especially for young people has been changed a lot [9][10] . Thus the health states of Chinese Navy and the health demand remains unclear and should be urgently updated.…”

Section: Introductionmentioning

confidence: 99%

Self-evaluation of Health State in Chinese Navy of Different Fleets

Ding¹,

Wu²,

Wang³

et al. 2020

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Objective: To clarify physical and psychological health state and potential medical need of Chinese navy. Methods: A cross-sectional study was performed in the total of 438 personnel of two fleets in different latitudes in China by self-reported questionnaire. The physical and psychological states were investigated and the potential medical needs were explored.Results: The top was muscle and skeletal system disease, affecting to 59% of the population, followed by respiratory disease, skin disease, oral disease, et al. The frequency of oral disease increased gradually, with the first peak at 26-30 years old. Ophthalmic and Ear-nose-throat diseases increased rapidly over 40 years old. The frequencies of above diseases were higher in submarine of Fleet B than that of Fleet A (P<0.05). In Fleet A, the frequencies of influenza and diarrhea in submarine were higher than those in surface fleet (P<0.001). The corps with low psychological self-evaluation suffered more diseases than those with high evaluation (P=0.04). Conclusions: Fleets in different latitudes exhibited different disease frequencies. Submarine force was more susceptible to infectious disease than surface fleet possibly due to the closed environment. High effective medical care should be given according to the age threshold of 25 and 40.

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“…More specifically, Wang and colleagues described declining mortality from communicable diseases following improvements to the public health infrastructure in Shanghai during the 1980s -infrastructure developments that led to enhanced infectious disease control. 4 The effect of famine in early life on increases in mortality from a range of chronic diseases is also described. Societal changes in behaviourrelated health risks, including increased tobacco smoking and alcohol consumption, physical inactivity and changes in diet leading to increasing obesity, are described in relation to increasing deaths from cancer, cardiovascular disease and other chronic conditions.…”

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confidence: 99%

How should we act on the social determinants of health?

Dummer

2018

CMAJ

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Influence of socioeconomic events on cause-specific mortality in urban Shanghai, China, from 1974 to 2015: a population-based longitudinal study

Cited by 18 publications

References 32 publications

Associations of Socioeconomic Factors with Cause-specific Mortality and Burden of Cardiovascular Diseases: Findings from the Vital Registration in Urban Shanghai, China, during 1974-2015

Associations of Socioeconomic Factors with Cause-specific Mortality and Burden of Cardiovascular Diseases: Findings from the Vital Registration in Urban Shanghai, China, during 1974-2015

Self-evaluation of Health State in Chinese Navy of Different Fleets

How should we act on the social determinants of health?

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